Jobs at Anthropic

Drive new business and revenue growth for Anthropic’s AI API and SaaS solutions across EMEA insurance markets. Own the full enterprise sales cycle, develop insurance-specific strategies, navigate procurement and stakeholder ecosystems, identify new use cases, negotiate complex agreements, exceed quotas, inform product roadmaps, and improve sales methodologies and playbooks.

Leads end-to-end delivery of custom AI agent deployments for enterprise customers, including scoping, discovery, solution planning, engineering execution, stakeholder management, value measurement, and production deployment. Owns SOWs, roadmaps, requirements, risks, change management, executive communications, and delivery operations. Develops reusable playbooks and evaluation frameworks while navigating enterprise security, legal, procurement, compliance, and regulatory requirements. Travel to customer sites is expected for relationship building, adoption, and delivery acceleration.

Build strategic relationships with complex EMEA customers, guide adoption of Anthropic’s AI products, optimize consumption and seat-based usage, identify expansion opportunities, quantify customer value, execute change-management programs, conduct business reviews, and represent regional customer needs internally. The role also helps establish EMEA customer-success processes and playbooks while collaborating across global teams and time zones.

Designs and delivers enterprise AI solutions using Claude. Acts as a pre-sales technical advisor, translating customer needs into scalable architectures, guiding evaluations and deployments, presenting to technical and executive audiences, and coordinating with Sales, Product, and Engineering. The role requires customer-facing architecture experience, enterprise integration expertise, Python familiarity, LLM knowledge, German and English fluency, and occasional customer travel.

Design, build, and operate Anthropic’s MCP proxy, OAuth, and token-management infrastructure. Own reliability through SLOs, on-call support, incident response, and postmortems. Develop enterprise administration controls and permission models, contribute to the MCP standard and Python and TypeScript SDKs, scope complex multi-month initiatives, drive cross-organizational alignment, and help productize advanced AI capabilities.

Own the connection between EMEA sales teams and boutique or regional systems integrator partners. Match partners to opportunities, drive partner attachment, oversee enablement and deployment outcomes, track time-to-value and ROI, and deliver partner-sourced and partner-influenced revenue. The role requires coordinating sales, partner, and delivery stakeholders, holding partners accountable, reporting performance, and helping scale the partner engagement program across EMEA.

Lead Deal Desk for EMEA and APAC, managing and scaling a team to structure complex multi-year and consumption deals. Own approvals, ensure quotes and order forms book cleanly in Salesforce/CPQ, partner with Sales, Legal, Finance, and Revenue teams, and drive process, tooling, and metrics to shorten cycle time and preserve pricing discipline.

Investigate and analyze enterprise-level threats (geopolitical, terrorism, nation-state targeting, activism, crime). Produce threat intelligence products, support crises and travel risk, brief stakeholders, coordinate with external partners, and document work to inform operational security decisions.

Join the Pretraining team to design and implement model architectures, optimizers, and data pipelines; run and analyze experiments; scale and optimize training infrastructure; and develop tooling across the stack to advance large language model research and production.

As a Software Engineer on the Safeguards team, you will build systems for monitoring AI models to promote safety and prevent misuse, ensuring oversight and user well-being.

Lead and scale a Forward Deployed Engineering team to deliver production AI solutions with enterprise customers: hire and mentor FDEs, oversee technical delivery, set playbooks and OKRs, collaborate with Sales/Product/Engineering, and travel to customer sites (25-50%).

Design, program, commission, and operate enterprise AV systems for new office builds, retrofits, and events across EMEA. Create AV schematics and documentation, lead deployments, coordinate with architects/contractors, manage vendors and integrators, develop automation for reliability, and support event production and global AV operations to deliver scalable, secure collaboration experiences.

Provide hands-on IT support across macOS-heavy endpoints and core SaaS platforms, troubleshoot hardware/software/network/account issues, manage onboarding/offboarding and device management, join on-call rotation, write automation scripts (Bash/Python), maintain documentation, and collaborate with IT Engineering and Security to scale operations.

Lead and deliver large-scale distributed infrastructure projects from ambiguous requirements to production. Make architecture decisions, ensure reliability, scalability, and security, collaborate with research/product teams, set technical standards, improve operational processes, and mentor engineers.

Responsible for managing the lifecycle of accelerator capacity, developing AI infrastructure, and driving cross-team initiatives while ensuring operational excellence and mentoring engineers.

The Staff Software Engineer will enhance Kubernetes scheduling for multi-cloud environments, design core services, ensure reliability, and collaborate with various teams to optimize performance.

As a Regional Research Economist, you will analyze AI's economic impacts, collaborate with entities, and develop methodologies for economic measurement, influencing policy and business decisions.

Design, run, and interpret large-scale reinforcement-learning experiments; build benchmarks for long-horizon RL; diagnose scale-dependent failures; and translate validated findings into production training recipes while collaborating with research and engineering teams.

Design, build, and operate highly reliable, scalable CI infrastructure and test systems across multiple clouds. Develop intelligent test selection, merge queue management, incident automation, flake detection, and developer-facing tooling to improve developer productivity and CI reliability at scale.

The Commercial Counsel will support complex negotiations, draft agreements, and provide legal guidance for AI deployment in EMEA, ensuring compliance and minimizing risks.